Year of Publication

2011

Degree Name

Master of Science in Electrical Engineering (MSEE)

Document Type

Thesis

College

Engineering

Department

Electrical Engineering

First Advisor

Dr. Yuan Liao

Abstract

This thesis focuses on detecting, classifying and locating faults on electric power transmission lines. Fault detection, fault classification and fault location have been achieved by using artificial neural networks. Feedforward networks have been employed along with backpropagation algorithm for each of the three phases in the Fault location process. Analysis on neural networks with varying number of hidden layers and neurons per hidden layer has been provided to validate the choice of the neural networks in each step. Simulation results have been provided to demonstrate that artificial neural network based methods are efficient in locating faults on transmission lines and achieve satisfactory performances.

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